AI Song.org

AI Song.org is an audio editing tool. Browser-based AI music studio that converts text prompts or lyrics into royalty-free songs, with a lyrics generator, vocal remover, stem splitting, song extension and MP3 to WAV conversion built in. Free credits exist, paid credits are required for heavier use.

AI Song.org is a browser-based music generation service that turns written descriptions or lyrics into finished tracks. A prompt field takes up to 500 characters, and the engine reads genre, mood, tempo feel and instrumentation cues from that text. It advertises more than 30 genres, with the sample gallery spanning drum and bass, disco, melodic EDM, boom-bap rap, kpop, amapiano and Chinese cinematic folk-rock, plus multilingual vocals including Arabic, Cantonese and Hungarian material. The platform presents itself as a small production suite rather than a single generator. Alongside the core AI Music Generator (labelled V4.5 in the interface) there is an AI Lyrics Generator that drafts verses, choruses and bridges, a Text/Lyrics to Music mode that sets written words to melody, a Vocal Remover for pulling instrumentals out of existing songs, an MP3 to WAV converter, and an Extend Song function for lengthening or varying a track. The interface also lists Cover Song, Split Stems and Add Tracks as actions on a generated result, which puts it closer to a lightweight arrangement tool than a pure one-shot prompt box. The workflow is deliberately plain. A user writes a description, chooses simple or custom mode, decides whether the output is instrumental, and spends credits to render. Finished tracks download as MP3 and the site states that commercial rights come with them, with no watermarking. Output is described as 44.1kHz audio with automatic mixing and mastering, and the marketing claims generation in under five minutes. Who it suits: content creators who need original background or intro music, podcasters avoiding licensing fees, and songwriters who want quick demos or backing tracks. It does not ask for musical training, and the credit system keeps casual use cheap. Against dedicated vocal-synthesis tools or full DAWs it is narrower on fine control, and the credit model means heavy output costs money. For fast, royalty-free sketch-to-track work in a browser, it is a reasonable first stop.